Rock Paper Scissors Dataset
Versions
Rock-Paper-Scissors_raw-images
v44
· 2 years ago
original-images
v43
· 3 years ago
Version on a Monday
v42
· 3 years ago
Fake Version for Testing
v41
· 3 years ago
Demo Version 722
v40
· 3 years ago
Recent Version 716
v39
· 3 years ago
Test Version with Alan
v38
· 3 years ago
Test Version 123
v37
· 3 years ago
20210714 350pm
v36
· 3 years ago
Fake Version
v35
· 3 years ago
Test Version with Arvindh
v34
· 3 years ago
Test Version on a Thursday
v33
· 3 years ago
Test Version for Ted
v32
· 3 years ago
Test Version
v31
· 3 years ago
Version 16 V16
v30
· 3 years ago
Test Version with Jags
v29
· 3 years ago
New Version
v28
· 3 years ago
Test Version with Remco
v27
· 3 years ago
Version with Mike
v26
· 3 years ago
Test Version V9
v25
· 3 years ago
Test Version
v24
· 3 years ago
New Version V8
v23
· 3 years ago
Test Train with Mahmoud
v22
· 3 years ago
V8
v21
· 3 years ago
Generated Version 617
v20
· 3 years ago
Test Version V6
v19
· 3 years ago
Test Version
v18
· 3 years ago
Test Version V5
v17
· 3 years ago
Test Version V4
v16
· 3 years ago
Second Train V3
v15
· 3 years ago
Test Version with Burak
v14
· 3 years ago
Second Train V2
v13
· 3 years ago
First Train V1
v1
· 3 years ago
v17
Test Version V5
Generated on Jun 15, 2021
Popular Download Formats
YOLOv11
TXT annotations and YAML config used with YOLOv11.
YOLOv9
TXT annotations and YAML config used with YOLOv9.
YOLOv8
TXT annotations and YAML config used with YOLOv8.
YOLOv5
TXT annotations and YAML config used with YOLOv5.
YOLOv7
TXT annotations and YAML config used with YOLOv7.
COCO JSON
COCO JSON annotations are used with EfficientDet Pytorch and Detectron 2.
YOLO Darknet
Darknet TXT annotations used with YOLO Darknet (both v3 and v4) and YOLOv3 PyTorch.
Pascal VOC XML
Common XML annotation format for local data munging (pioneered by ImageNet).
TFRecord
TFRecord binary format used for both Tensorflow 1.5 and Tensorflow 2.0 Object Detection models.
PaliGemma
PaliGemma JSONL format used for fine-tuning PaliGemma, Google's open multimodal vision model.
CreateML JSON
CreateML JSON format is used with Apple's CreateML and Turi Create tools.
Other Formats
Choose another format.
2264 Total Images
View All Images
Dataset Split
Train Set 88%
2001Images
Valid Set 8%
174Images
Test Set 4%
89Images
Preprocessing
Resize: Stretch to 416x416
Augmentations
Outputs per training example: 3
Brightness: Between -47% and +47%
Noise: Up to 9% of pixels